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Machine Learning Engineer Python Jobs in Schaumburg, IL

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers our platform. This is a zero-to-one role. You will be the first dedicated ML hire and will own how ...

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers our platform. This is a zero-to-one role. You will be the first dedicated ML hire and will own how ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ... Python. • Strong background in advanced Python and big data technologies • Experience with ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ... Strong background in advanced Python and big data technologies * Experience with cloud ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Our machine learning engineering team is responsible for developing infrastructure and tooling to ... Strong background in advanced Python and big data technologies. * Experience with cloud ...

Senior Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

The client seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets ... Python, SQL, PySpark, Docker Experience with streaming and batch data architectures at scale ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

Role description AWS Machine Learning Engineer ML Engineer I Who We Are: Born digital, UST ... in Python. • 2+ years of production experience with Amazon SageMaker for training and/or ...

AI & Machine Learning Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Python/Java developer , data analyst , data engineer , data scientist , and machine learning/AI ... engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack ...

Hardware Machine Learning Engineer Chicago, United States; New York, United States We are deploying ... Proficiency in Python, C++, or similar languages for tooling, testing, and simulation * Strong ...

Machine Learning Engineer - Senior Associate

Chicago, IL · On-site

$126K - $166K/yr

Machine Learning Engineer - Senior Associate Are you looking for an exciting opportunity to solve ... Python, Java, C, C++, Go. * Implement and manage data pipelines to preprocess and transform data ...

AI & Machine Learning Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Python/Java developer , data analyst , data engineer , data scientist , and machine learning/AI ... engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack ...

Machine Learning Engineer II

Chicago, IL · On-site

$100K - $137K/yr

The Machine Learning Engineer II role is part of the Technology Team, which is responsible for ... Programming Languages: SQL, Python * Understanding of ETL tools and database architecture

We're looking for a Principal Machine Learning Engineer to help shape the next phase of our ... Deep proficiency in Python, with strong experience in either CUDA or C++ * Hands-on expertise with ...

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Machine Learning Engineer Python information

See Schaumburg, IL salary details

$22.6K

$137.4K

$198.8K

How much do machine learning engineer python jobs pay per year?

As of Jun 5, 2026, the average yearly pay for machine learning engineer python in Schaumburg, IL is $137,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $161,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

What is the difference between Machine Learning Engineer Python vs Data Scientist?

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What are popular job titles related to Machine Learning Engineer Python jobs in Schaumburg, IL? For Machine Learning Engineer Python jobs in Schaumburg, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in Schaumburg, IL look for? The top searched job categories for Machine Learning Engineer Python jobs in Schaumburg, IL are:
What cities near Schaumburg, IL are hiring for Machine Learning Engineer Python jobs? Cities near Schaumburg, IL with the most Machine Learning Engineer Python job openings:

Machine Learning Engineer

Coin Flow

Chicago, IL • On-site

$160K - $220K/yr

Other

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

About Coinflow
Coinflow is the next-generation payment service provider revolutionizing global financial infrastructure with stablecoins, AI-driven fraud prevention, and instant settlement. Coinflow enables businesses to grow faster with instant settlement, fraud & chargeback indemnity, global pay-ins, multi-currency FX, and unified payouts. Founded in 2023, the company serves marketplaces, fintechs, remittance providers, gaming platforms, and ecommerce merchants worldwide.
Since our seed round in 2024, we've achieved 23x revenue growth and scaled to multi-billion-dollar annual transaction volume. In response to this growth, Coinflow announced a $25M Series A in October 2025-led by Pantera Capital, CMT Digital, Coinbase Ventures, Jump Crypto, and Reciprocal Ventures-accelerating our mission to power the world's fastest-moving businesses with innovative, reliable global payments.
Coinflow is proudly headquartered in Chicago, IL. Learn more at coinflow.cash.
Role Overview:
Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers our platform.
This is a zero-to-one role. You will be the first dedicated ML hire and will own how data and machine learning are developed and applied across Coinflow. You'll explore large-scale transaction and behavioral data, build models and analytical systems, define what success looks like, and embed intelligence directly into our products and internal tooling.
The ideal candidate is deeply curious, excited to experiment, and motivated by building something that does not yet exist.
Key Responsibilities:
  • Build and evolve machine learning models and analytical systems that support platform decisioning and product intelligence
  • Establish the foundation for data and machine learning practices across the company
  • Define, own, and evolve core metrics across platform health, performance, and risk
  • Explore transaction and behavioral data to uncover patterns, signals, and new insights
  • Partner closely with Engineering, Product, and Operations to turn open-ended problems into real systems
  • Design how models and data systems are evaluated, improved, and trusted over time
  • Build internal workflows and tooling that support operational and product teams
  • Help shape Coinflow's long-term data and machine learning roadmap
Required Qualifications:
  • 4+ years of experience in machine learning, applied data science, or production ML roles
  • Strong foundation in machine learning, statistics, and analytical problem solving
  • Experience building models or data-driven systems that operate in real products
  • Comfort working with ambiguous problems and creating structure where none exists
  • Strong communication skills and experience collaborating cross-functionally
  • High ownership mindset with genuine curiosity about messy, real-world data
Preferred Qualifications:
  • Experience building decisioning, optimization, fraud, risk, or other payments systems
  • Experience in fintech, payments, or other financial services environments
  • Experience as an early data/ML hire at a startup
  • Experience working with high-volume behavioral or financial data
What We Offer:
  • Competitive compensation including base salary, performance bonus, and meaningful ownership
  • Opportunity to build the fraud and risk intelligence layer of a rapidly scaling fintech company
  • Collaborative and innovative work environment with world-class investors
  • Direct impact on core risk infrastructure and company trajectory during a hypergrowth phase

The base salary range for this role is $160,000 to $220,000 USD. The actual base salary offered depends on a variety of factors, including but not limited to experience, education, skills, qualifications and business needs.
In addition, the employee who fills this role will be eligible for an equity grant, allowing you to share in the long-term success of the company. You will also have access to a wide array of benefits, including health and wellness benefits, 401(k) savings plan, and flexible time off.
Join the team rewriting how money moves worldwide-and become a driving force in the $194 trillion cross-border payments market.